基于角色块的工作流模型挖掘

Workflow mining based on role blocks

工作流挖掘可以从工作流日志中提取信息以获取工作流模型,但以往的研究得到的工作流模型基本上是基于活动的。首先对URPA模型进行了扩展,得到基于角色块的USPA模型。在此基础上,提出了一种基于角色活动图RAD的工作流模型挖掘算法。该算法利用管理者角色,以角色块结构表示工作流模型,满足US-PA模型。

Workflow mining extracts information from event logs to capture workflow models but it is almost activity-driven at the present time. The mining workflow from the perspective of role concept is proposed. In doing so,the user role-permissiowact（URPA）model is first modified to produce the role-based user sub rolepermission-act（USPA）model. Then using the USPA model, a role activity diagram（RAD） based on workflowmining algorithm is proposed, which results in workflow models made up of role blocks and management roles.